Data Scientist

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London / £500 - £560 day

INFO

Salary

RATE:

£500 - £560

Location

LOCATION

London

Job Type
JOB TYPE

Contract

Contract Data Scientist

London | Outside IR35 £500-560 per day| 2-months

This is an opportunity to join a specialist analytics consultancy on a high-impact insurance analytics project. You'll play a key role in developing predictive models and customer segmentation frameworks that directly support commercial decision-making, working with rich first-party customer and transactional data from day one.

The Company

They are a specialist analytics consultancy that delivers advanced data science and predictive modelling solutions for enterprise clients. Their technology is deployed within client environments, helping organisations understand customer behaviour, forecast future outcomes, and identify opportunities for growth. They combine data science, analytics, and commercial insight to solve complex business challenges across customer-focused industries.

The Role and Deliverables

  • Build customer segmentation and clustering models to identify meaningful customer groups.
  • Develop propensity models and predictive analytics solutions to support business decision-making.
  • Forecast customer behaviour and future customer value using advanced modelling techniques.
  • Analyse motor and home insurance customer journeys, quote behaviour, and conversion patterns.
  • Design a core segmentation framework with multiple supporting sub-segmentations.
  • Package and document models for deployment and handover to engineering teams.

Your Skills & Experience

  • Strong experience delivering customer segmentation and clustering projects using unsupervised learning techniques.
  • Demonstrated capability in propensity modelling, predictive modelling, and forecasting.
  • Strong Python and SQL skills for data preparation, analysis, and model development.
  • Experience working within Databricks and/or Microsoft Fabric environments.
  • Comfortable developing solutions in notebook-based analytics environments.
  • Experience within insurance, customer analytics, pricing analytics, retention, acquisition, churn modelling, customer lifetime value, or quote conversion analysis.
  • Ability to work autonomously and quickly contribute within a fast-paced contract engagement.

How to Apply

If you have strong experience in customer analytics, predictive modelling, and insurance data science, apply today to discuss this contract opportunity in more detail.

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